Powering Uniper’s Digital Transformation with Data Analytics

Fabian Schlieck, Performance Engineer, Uniper

The German power industry is experiencing significant changes and challenges, with a focus on ensuring a reliable energy supply. Uniper is leveraging data science, particularly using Seeq, to enhance the reliability and efficiency of its operations. Seeq enables rapid, in-depth analysis of operational data to identify and address incidents like boiler tube leaks, compare actual performance against predictions, and make adjustments as necessary. It also aids in analyzing the performance impact of hardware changes and utilizes weather forecasts to predict future asset performance. This approach improves operational decision-making and supports Uniper’s digital transformation and the strategic management of its power generation assets.